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* A tool for collecting diagnostics data if you need support. [#33175](https://github.com/ClickHouse/ClickHouse/pull/33175) ([Alexander Burmak](https://github.com/Alex-Burmak)). * A tool for collecting diagnostics data if you need support. [#33175](https://github.com/ClickHouse/ClickHouse/pull/33175) ([Alexander Burmak](https://github.com/Alex-Burmak)).
* Automatic cluster discovery via Zoo/Keeper. It allows to add replicas to the cluster without changing configuration on every server. [#31442](https://github.com/ClickHouse/ClickHouse/pull/31442) ([vdimir](https://github.com/vdimir)). * Automatic cluster discovery via Zoo/Keeper. It allows to add replicas to the cluster without changing configuration on every server. [#31442](https://github.com/ClickHouse/ClickHouse/pull/31442) ([vdimir](https://github.com/vdimir)).
* Implement hive table engine to access apache hive from clickhouse. This implements: [#29245](https://github.com/ClickHouse/ClickHouse/issues/29245). [#31104](https://github.com/ClickHouse/ClickHouse/pull/31104) ([taiyang-li](https://github.com/taiyang-li)). * Implement hive table engine to access apache hive from clickhouse. This implements: [#29245](https://github.com/ClickHouse/ClickHouse/issues/29245). [#31104](https://github.com/ClickHouse/ClickHouse/pull/31104) ([taiyang-li](https://github.com/taiyang-li)).
* Add aggregate functions `cramersV`, `cramersVBiasCorrected`, `theilsU` and `contingency`. These functions calculate dependency (measure of association) between categorical values. All these functions are using cross-tab (histogram on pairs) for implementation. You can imagine it like a correlation coefficient but for any discrete values (not necessary numbers). [#33366](https://github.com/ClickHouse/ClickHouse/pull/33366) ([alexey-milovidov](https://github.com/alexey-milovidov)). Initial implementation by TODO * Add aggregate functions `cramersV`, `cramersVBiasCorrected`, `theilsU` and `contingency`. These functions calculate dependency (measure of association) between categorical values. All these functions are using cross-tab (histogram on pairs) for implementation. You can imagine it like a correlation coefficient but for any discrete values (not necessary numbers). [#33366](https://github.com/ClickHouse/ClickHouse/pull/33366) ([alexey-milovidov](https://github.com/alexey-milovidov)). Initial implementation by [Vanyok-All-is-OK](https://github.com/Vanyok-All-is-OK) and [antikvist](https://github.com/antikvist).
* Added table function `hdfsCluster` which allows processing files from HDFS in parallel from many nodes in a specified cluster, similarly to `s3Cluster`. [#32400](https://github.com/ClickHouse/ClickHouse/pull/32400) ([Zhichang Yu](https://github.com/yuzhichang)). * Added table function `hdfsCluster` which allows processing files from HDFS in parallel from many nodes in a specified cluster, similarly to `s3Cluster`. [#32400](https://github.com/ClickHouse/ClickHouse/pull/32400) ([Zhichang Yu](https://github.com/yuzhichang)).
* Adding support for disks backed by Azure Blob Storage, in a similar way it has been done for disks backed by AWS S3. [#31505](https://github.com/ClickHouse/ClickHouse/pull/31505) ([Jakub Kuklis](https://github.com/jkuklis)). * Adding support for disks backed by Azure Blob Storage, in a similar way it has been done for disks backed by AWS S3. [#31505](https://github.com/ClickHouse/ClickHouse/pull/31505) ([Jakub Kuklis](https://github.com/jkuklis)).
* Allow `COMMENT` in `CREATE VIEW` (for all VIEW kinds). [#31062](https://github.com/ClickHouse/ClickHouse/pull/31062) ([Vasily Nemkov](https://github.com/Enmk)). * Allow `COMMENT` in `CREATE VIEW` (for all VIEW kinds). [#31062](https://github.com/ClickHouse/ClickHouse/pull/31062) ([Vasily Nemkov](https://github.com/Enmk)).